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首页> 外文期刊>Electric power systems research >Adaptation of the clonal selection algorithm to the real-time coordinated Volt/VAr control through a software-in-the-loop strategy
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Adaptation of the clonal selection algorithm to the real-time coordinated Volt/VAr control through a software-in-the-loop strategy

机译：通过软件在线策略对克隆选择算法对实时协调伏/ var控制的适应

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摘要

With the advent of smart grid technologies, modern Distribution Management Systems (DMSs) enable the realtime operation of advanced automation functions such as Coordinated Volt/VAr Control (CVVC). Typically, control rule-based techniques have been proposed to efficiently carry out this important function in Distribution Networks (DNs). In this paper, a novel adaptation of the clonal selection theory of immune systems (CLONALG Clonal Selection Algorithm) is proposed for real-time optimal solution of CVVC problem in radial DNs composed of multiple control equipment. To do this, a Software-in-the-Loop (SIL) strategy is developed, through the use of the Real-Time Digital Simulator (RTDS) and Matlab? program. Implementation details of the referred strategy and the corresponding adaptation of the CLONALG-based CVVC are discussed in this paper. Simulations results demonstrated that the proposed adaptation of the CLONALG technique is suitable to solve the CVVC problem in a maximum time of less than 10 min, in accordance with the Brazilian electric utilities? need. On the other hand, the developed SIL strategy proved to be effective to analyzing the time domain behavior of CVVC algorithms, designed to operate in real time in a modern DMS.
机译：随着智能电网技术的出现，现代化的分销管理系统（DMSS）使得能够进行高级自动化功能的实时运行，例如协调Volt / var控制（CVVC）。通常，已经提出了基于控制规则的技术以有效地在分发网络（DNS）中执行这一重要功能。本文提出了一种新颖的一种自适应选择免疫系统的选择理论（克隆克隆选择算法），用于多次控制设备组成的径向DNS中CVVC问题的实时最优解。为此，通过使用实时数字模拟器（RTD）和MATLAB，开发了一种软件循环（SIL）策略？程序。本文讨论了所提到的策略的实施细节和基于克隆的CVVC的相应调整。仿真结果表明，根据巴西电力公用事业，克隆技术的建议适应在少于10分钟的最大时间内解决CVVC问题？需要。另一方面，发达的SIL战略证明是有效分析CVVC算法的时域行为，旨在在现代DMS中实时运行。

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